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Crash Course
ANOVA: Crash Course Statistics #33
How do you account for multiple variables when analyzing data? Following a lesson on regression, the 33rd lesson in the Crash Course Statistics series examines the ANOVA, analysis of variances, method of determining differences...
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Measures of Spread: Crash Course Statistics #4
Sometimes the measures of center don't give us enough information. The spread of the data can tell statisticians much more about the data set. A video lesson, part of a statistics video series, describes different measures of spread such...
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Mean, Median, and Mode: Measures of Central Tendency: Crash Course Statistics #3
If you have two feet, you have more than the average number of feet! Explore the meaning of the numbers of measures of central tendency of different data sets with the third of five lessons in a video statistics playlist. Using unique...
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Charts Are Like Pasta - Data Visualization Part 1: Crash Course Statistics #5
Clever marketers can use visual statistics to mislead their target populations. Explore these visual misrepresentations with a video lesson from a larger statistics playlist. The lesson instructor explains visual representations of both...
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ANOVA Part 2: Dealing with Intersectional Groups: Crash Course Statistics #34
A statistic of interest is often affected by multiple variables. Continuing from the previous lesson in the Crash Course Statistics playlist, the instructor explains how to apply the ANOVA calculations to multiple variables that have an...
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Mathematical Thinking: Crash Course Statistics #2
What is the probability that someone will draw the same lottery numbers two times in a row? Very small, but it can—and has—happened! Statisticians often work with very large or small numbers. The second lesson in a statistics playlist...
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T-Tests: A Matched Pair Made in Heaven: Crash Course Statistics #27
Pair a video with your lesson on t-tests. Viewers of an informative YouTube video, the 27th part of the Crash Course Statistics series, study two sample t-tests and paired t-tests. They see which test would be appropriate for a situation...
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The Replication Crisis: Crash Course Statistics #31
There is growing evidence that suggests the results of many studies are not reproducible. The 31st lesson of the Crash Course Statistics playlist discusses possible causes of the problem and identifies solutions since producibility is...
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Fitting Models Is like Tetris: Crash Course Statistics #35
Different statistical models tell people unique information about data. The 35th lesson in the Crash Course Statistics series describes two different statistic models: ANOVA and Repeated Measures ANOVA. The narrator of a short video...
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Controlled Experiments: Crash Course Statistics #9
Control your excitement about finding such a great resource! Scholars learn about different types and purposes of experiments through an engaging YouTube video. The ninth part of the Crash Course Statistics series looks at controlled...
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You know I’m all about that Bayes: Crash Course Statistics #24
Be brave, learn about Bayes. An informative video describes Bayes theorem and Bayesian hypothesis testing. It explains how this type of testing incorporates both statistics and beliefs about the hypothesis to wrap up the 24th installment...
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When Predictions Succeed: Crash Course Statistics #44
Statistics show people eat more berries when the weather is nice. Young entrepreneurs learn how stores use statistics like this to plan their advertising and sales strategies. The narrator uses various examples to show how important...